Discover insights, tutorials, and updates about web crawling, data extraction, and how to make the most of WaterCrawl.
LoRA and QLoRA are efficient fine-tuning techniques that drastically reduce the cost and memory requirements of adapting large language models. LoRA achieves this by training only small low-rank adapters, while QLoRA goes further...
Prompt engineering is about crafting clever instructions for one-off AI tasks, while context engineering designs the whole ecosystem of memory, data, and tools around an LLM. By curating, compressing, and orchestrating context, systems become...
Prompting is the golden key to talking with AI. By giving clear, detailed instructions, you unlock AI’s full potential—saving time, getting precise results, and turning it into your creative teammate. Mastering prompting is...
AI is moving from LLMs (language generators) to RAG (retrieval-grounded systems) to AI Agents (autonomous, tool-using workflows). Each stage builds on the last—LLMs provide fluency, RAG adds accuracy with external knowledge, and Agents...
AI agents become powerful not just through language models but through the tools they use. Tools let agents fetch real-time data, automate tasks, and interact with external systems—from booking flights to generating visuals....
AI agents in 2025 are smarter than ever, with open-source frameworks powering automation, research, and real-world apps. 🛠️ From LangChain’s all-round power to Dify’s low-code magic, there’s a tool for every developer, team, or...
Chunking is the hidden lever behind effective RAG. Split text too small, you lose context; too large, you add noise. In this episode, we compare fixed-size, recursive, and semantic chunking—highlighting their trade-offs and...
🚀 In 2025, pre-built RAG platforms have evolved from experiments into full-stack enterprise AI solutions. From Elastic’s stability to Contextual AI’s innovation, here are the standout platforms shaping the future of Retrieval-Augmented Generation.
Retrieval-Augmented Generation (RAG) depends on effective search. BM25 offers fast, keyword-based precision, while Semantic Search uses embeddings to capture meaning and context. Hybrid Search blends both approaches,combining exact matches with semantic understanding.to deliver...